DTP delivery runs through five evidence gates: Discover, Prove, Build, Pilot, Launch. Each one buys information before anything costs scale, and stopping at any of them is a result, not a failure.
Each gate buys information before it costs scale. The gate is passed when the evidence is strong enough, and closed without shame when it isn't.
Is the problem clear enough to deserve money?
Understand users, workflow, data, systems, risk, ownership and the business decision the work must improve.
Current-state map, constraints, success criteria and recommended first route.
Is the value real outside a slide?
Create a focused PoC around one workflow, data path, decision surface, agent behaviour or integration risk.
Evidence of feasibility, value, limits and what must be true before MVP.
Can real users touch it without it breaking?
Build an MVP with usable interfaces, real data pathways, controls, support assumptions and delivery-grade architecture.
Working MVP, measured behaviours, operational feedback and launch-readiness gaps.
Does it survive actual operations?
Test with users, measure adoption, expose edge cases, refine controls and decide whether the system should scale.
Pilot findings, adoption signals, risk updates and scale/no-scale recommendation.
Who owns it when it's live?
Move into live use with support, documentation, monitoring, feedback loops and a clear improvement backlog.
Live system, handover, monitoring model and next improvement route.
The process works because governance, adoption and technical reality are handled while the system is being shaped.
Human approval loops where decisions carry risk.
Permissions and data boundaries defined before scale.
Operational support model agreed before launch.
Measurement tied to effort, visibility, speed or safety.
We publish the method because the method isn't the moat. Judgement is.
